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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EST 2024-05-17
11:00
Tokyo Kikai-Shinko-Kaikan Bldg. Numerical evaluation of the accuracy of source estimation in various forward problem head models
Masamune Niitsu, Yuji Tanaka, Chun-Ren Phang, Sachiko Kodera, Toshiaki Wasaka, Akimasa Hirata (NITech) EST2024-2
Brain activity can be conceptualized as circuit network activity within gray matter, generating a small current in the c... [more] EST2024-2
pp.7-12
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
15:10
Okinawa
(Primary: On-site, Secondary: Online)
Lightweight and Interpretable Deep Learning Model for EEG-Based Sleep Stage Classification
Aozora Ito, Toshihisa Tanaka (TUAT) EA2023-82 SIP2023-129 SP2023-64
Sleep scoring by experts is necessary for diagnosing sleep disorders. EEG is one of the essential physiological data for... [more] EA2023-82 SIP2023-129 SP2023-64
pp.127-132
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
An Investigation on the Speech Recovery from EEG Signals Using Transformer
Tomoaki Mizuno (The Univ. of Electro-Communications), Takuya Kishida (Aichi Shukutoku Univ.), Natsue Yoshimura (Tokyo Tech), Toru Nakashika (The Univ. of Electro-Communications) EA2023-108 SIP2023-155 SP2023-90
Synthesizing full speech from ElectroEncephaloGraphy(EEG) signals is a challenging task. In this paper, speech reconstru... [more] EA2023-108 SIP2023-155 SP2023-90
pp.277-282
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
14:30
Tokushima Naruto University of Education Verification of Conditions for Conducting Virtual Reality Live Concerts Attended by 50 People via Electroencephalography Signals by Dynamical System Modeling
Yukino Komoda, Ryota Horie (SIT) NLP2023-112 MICT2023-67 MBE2023-58
The authors have hypothesized that collective behavior occurs among the EEG features of multiple viewers in a multiple-p... [more] NLP2023-112 MICT2023-67 MBE2023-58
pp.133-138
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
14:50
Tokushima Naruto University of Education Analysis of EEG Signals Measured Simultaneously by a Simple EEG Recorder and a Multi-Channel EEG Recorder during Virtual Reality Live Concert Viewing
Haoran Wang, Yuta Minegishi, Ryota Horie (SIT) NLP2023-113 MICT2023-68 MBE2023-59
The authors developed a virtual live concert viewing system using an immersive head-mounted display that feeds back elec... [more] NLP2023-113 MICT2023-68 MBE2023-59
pp.139-144
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
The Effects of Napping Based on EEG Measurement and Its Impact During Sleep Deprivation
Hiroko Hara, Masayuki Murata (Osaka Univ.)
Evolving work styles require diverse and flexible styles. However, issues such as fatigue and reduced productivity due t... [more]
EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] 2023-07-20
13:50
Hokkaido Muroran Institute of Technology
(Primary: On-site, Secondary: Online)
Source estimation for short latency somatosensory evoked potential induced by median nerve stimulation
Niitsu Masamune, Sachiko Kodera, Toshiaki Wasaka, Akimasa Hirata (NITech) EMT2023-17 MW2023-35 OPE2023-17 EST2023-17 MWPTHz2023-13
The brain activity can be considered as circuit network activity in the gray matter, and a small current is then generat... [more] EMT2023-17 MW2023-35 OPE2023-17 EST2023-17 MWPTHz2023-13
pp.43-48
MBE, IEE-MBE 2023-06-16
16:50
Hokkaido Hokkaido University
(Primary: On-site, Secondary: Online)
Artifact Reduction in the EEG Grasping-Type Discrimination Task using Independent Component Analysis (ICA) method
Phan Hoang Huu Duc, Masayuki Fujiwara, Kosei Shibata, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2023-15
This study examined the artifactual components rejection of Independent Component Analysis (ICA) in Electroencephalogram... [more] MBE2023-15
pp.28-33
MBE, IEE-MBE 2023-06-16
17:15
Hokkaido Hokkaido University
(Primary: On-site, Secondary: Online)
ERD/ERS Analyses of Effects on the Movement Onset Definition in the EEG Grasping-Type Discrimination Task
Kosei Shibata, Masayuki Fujiwara, Phan Hoang Huu Duc, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2023-16
In this study, we developed an ERD/ERS analysis system that allows the selection of onset timing using motion capture an... [more] MBE2023-16
pp.34-39
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-19
10:00
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
EEG-Based Sleep Stage Classification Using a Self-Attention Model
Aozora Ito, Kosuke Fukumori, Toshihisa Tanaka (TUAT) SIP2023-9 BioX2023-9 IE2023-9
EEG-based sleep stage classification is clinically significant, and deep learning is the dominant method for automating ... [more] SIP2023-9 BioX2023-9 IE2023-9
pp.35-40
MBE, NC 2022-12-03
13:30
Osaka Osaka Electro-Communication University A Proposal of the System to Extract Movement Onsets Depending on Individual Trials for Detail Analyses in the EEG Grasping-Type Discrimination Task
Kosei Shibata, Phan Hoang Huu Duc, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2022-35 NC2022-57
In this study, we designed an extended data recording system to validate the onset timing to grab a target object in the... [more] MBE2022-35 NC2022-57
pp.57-61
MBE 2022-07-23
13:00
Online Online Examining the relationship between detection rate of steady state visual evoked potential and basic rhythm
Keisuke Yoshimura, Masatake Akutagawa, Takahiro Emoto (Tokushima Univ.), Humio Sitijyou (Suzue HP), Yoshio Kaji (Tokushima Bunri Univ.), Yousuke Kinouti (Tokushima Univ.) MBE2022-12
The purpose of this study is to investigate the accuracy of steady-state visual evoked potential (SSVEP) detection in te... [more] MBE2022-12
pp.1-5
NC, MBE
(Joint)
2021-11-26
15:50
Online Online An Influence of Individual Differences in EEG ERD/ERS Analysis in the Three Grasping Posture Task for Motor Rehabilitation
Satoru Mishima, Kosei Shibata, Maria Rodalyn V. Sanchez (LSSE, Kyushu Institute of Technology), Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology/RIKEN CBS) NC2021-29
Electroencephalogram (EEG) is a way to inspect medical diagnoses such as epilepsy and then there is a further potential ... [more] NC2021-29
pp.7-12
MBE, MICT 2021-01-28
13:50
Online Online A proposal for measuring event-related potentials for a preference analysis of appreciating pictures
Riki Sakauchi, Ryota Horie (SIT) MICT2020-23 MBE2020-28
We proposed and developed an experimental system for measuring event-related potentials when subjects are viewing painti... [more] MICT2020-23 MBE2020-28
pp.11-16
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-25
16:45
Online Online Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA
Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] VLD2020-52 CPSY2020-35 RECONF2020-71
pp.75-79
EST 2021-01-21
11:15
Online Online Performance Evaluation of EEG Source Localization Based on Lead Field Matrix
Takayoshi Moridera, Essam Rashed, Akimasa Hirata (NITech) EST2020-57
In recent years, effective utilization of biosignals has been progressing in medical science and industrial applications... [more] EST2020-57
pp.22-27
EMT, IEE-EMT 2019-11-08
13:40
Saga Hotel Syunkeiya Experimental Evaluation of EEG Source Localization Based on Lead Field Matrix by Matching Pursuit
Takayoshi Moridera, Takahiro Ito, Toshiaki Wasaka (NITech), Tetsuo Kida (ADDC), Akimasa Hirata (NITech) EMT2019-68
In recent years, effective utilization of biological signals from the brain activity has been progressing in medical sci... [more] EMT2019-68
pp.207-212
MBE, NC 2019-10-11
16:45
Miyagi   Biometric Authentication Using Multivariate Autoregressive Coefficients for Photic Driving Response
Akiyama Shohei (Yamagata Univ.), Takamasa Shimada (Tokyo Denki Univ.), Tadaniri Fukami (Yamagata Univ.) MBE2019-37 NC2019-28
In recent years, various biometrics such as fingerprints and veins have become widespread. However, there is a problem t... [more] MBE2019-37 NC2019-28
pp.41-44
MW, EST, OPE, MWP, EMT, IEE-EMT, THz [detail] 2019-07-19
10:25
Hokkaido Hakodate City Central Library Evaluation of Noise Immunity for EEG Source Localization by Matching Pursuit
Takayoshi Moridera, Takahiro Ito, Akimasa Hirata (NITech) EMT2019-34 MW2019-47 OPE2019-38 EST2019-36 MWP2019-34
In recent years, effective utilization of biological signals from the brain activity has been progressing in medical sci... [more] EMT2019-34 MW2019-47 OPE2019-38 EST2019-36 MWP2019-34
pp.161-166
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) Beamforming for Brain-Activity Reconstruction under Time-Correlated Interference
Takehiro Kono (Keio Univ.), Masahiro Yukawa (Keio Univ./Riken), Tomasz Piotrowski (Nicolaus Copernicus Univ./Interdisciplinary Center for Modern Te) EA2018-116 SIP2018-122 SP2018-78
We consider the problem of reconstruction of brain activity from non-invasive electroencephalography (EEG) signals using... [more] EA2018-116 SIP2018-122 SP2018-78
pp.99-104
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